The project has potential, but I agree I'd want other projects wrapped in that PhD that span more than the clinical correlation between a metabolite and outcome (lung cancer).
Will you get to work with the metabolite, lung tissue or look at any imaging studies?
Alternatively, you could become very well versed in epidemiology, which is fine, too, like others have said. But then that should be the goal - if you're going to stick in that part of the translational process.
Developing useful biomarker is actually much more complex than you think. For one thing, there are at least 5 different histological subtypes of "lung cancer". Secondly, you need to build a case of what biomarker is useful for what clinical picture, which requires some sophistication is your use of regression models, and sometimes non-parametric models.
Secondly, I'm assuming the end point isn't just lung cancer, but also associated things like mortality, response to chemo, etc. etc., because the point of such marker is to find cancer early so we can treat it. (Remember how PSA failed?) If this is a useful marker at all, it can very conceivably become a multicenter study which eventually result in multiple NJEM-level papers.
Finally, assuming the metabolite suggests some mechanisms of tumoriogenesis, that in itself can be a clue as to why some lung cancers develop, and others don't. Perhaps the metabolite irreversibly activated some BCR-ABL type tyrosine kinase...perhaps it's a new kind of TK that can get a new GLEEVAC....and make someone or a bunch of people's careers
Clearly, no research is "just a contract". If you can't come up with the ideas for your R01s, it's not the fault of the phenomenon...don't blame the toliet when you are constipated.
A useful biomarker is a multi-billion kind of a thing, and many millions are spent in both academia and industry to develop a replacement for, say, PSA. I would NOT trivialize this kind of research at all.
I wouldn't be surprised if a robot will do these things in the next 10 years. There are many people who think of these approaches as quite boring for this reason.
Agreed. But who's going to analyze this data generated by all these robots? Seems like system biology is the direction of the future.